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Professor Mao Guoqiang of University of Technology, Sydney Visited Key Lab of Wireless Sensor Network and Communication, Chinese Academy of Sciences

Date:26-05-2016   |   【Print】 【close

On April 26, 2016, Prof. Mao Guoqiang of University of Technology, Sydney paid a visit to Key Lab of Wireless Sensor Network and Communication, Chinese Academy of Sciences (“Key Lab”) and delivered an interesting academic report entitled as “Ultra-dense Small Cell Networks: Theory and Deployment”. Prof. Mao used to work at the School of Electrical and Information Engineering, the University of Sydney before joining the University of Technology, Sydney as a Professor of Wireless Networking and Director of University Center for Real-time Information Networks in February 2014. Prof. Mao has rich teaching and research experience, and his research interest includes intelligent transport systems, applied graph theory and its applications in networking, wireless sensor networks, wireless localization techniques and network performance analysis. He has published more than 150 papers in top international conferences and journals, which have been cited more than 3700 times.

As one of key 5G technologies, UDN has arrested extensive attention in both academic and industrial communities. In his report, Prof. Mao first introduced major technologies for improving 5G system capacity, such as massive MIMO, disruption management, Information Centric Network (ICN), heterogeneous and dense networking. Later on, he dwelled on the whole processing process of ultra dense network from theory to deployment, including theoretical performance analysis, large-sized simulation experiments and real-time implementation of prototypes and designs of wireless communication system. In the end, Prof. Mao introduced recent research results on performance analysis of ultra dense small-cell network using random geometry and focused on the analysis of the impact of LOS (Line-of-Sight) and NLOS (None-Line-of-Sight) transmission models on system performance. According to simulation results demonstrated by Prof. Mao, when base station density is rather low, system performance will increase gradually with growing base station density. When small-cell density exceeds a certain threshold, a large number of interference paths shift from NLoS to LOS and interference power increases faster than signal power does. As a result, spectrum efficiency and coverage performance of the whole network will decrease with growing base station density.

Prof. Mao’s exciting report was of great help to scientific research and development direction of Key Lab’s relevant fields and Key Lab hopes to have more opportunities to communicate and cooperate with domestic and international experts in relevant fields in the future.

 

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